• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>IEEE International Geoscience and Remote Sensing Symposium >Merged of gauge-satellite precipitation benefits to data-sparse regions and to extreme rainfall events
【24h】

Merged of gauge-satellite precipitation benefits to data-sparse regions and to extreme rainfall events

机译：将标量卫星降水效益合并到数据稀疏地区和极端降雨事件中

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

A variational scheme for the analysis of hourly high-resolution precipitation has been developed over China and tested in heavy rainfall events and data-sparse regions. The cost function of the proposed scheme simply required scalar and gradient of observations are computed for the input information contained in the new precipitation observations to properly improve the behavior of merged algorithm in short-time. Experiment results show variational analysis has a positive impact of merged data over China and performs particularly well at Western and Southwest regions when compared to the sources of inputs. Cross validation in which each affected stations is withdrawal at once indicated that the merged products can clearly seamlessly be beneficial to the analyses and subsequent forecast of heavy rainfall events. In particular, it also confirmed that the merged of precipitation observations has the ability to improve the quality of rainfall and capture the pattern agreements in relatively data-sparse regions.
机译：在中国已经开发出一种用于每小时高分辨率降水分析的变分方案，并已在强降雨事件和数据稀疏地区进行了测试。对于新的降水观测值中包含的输入信息，该建议方案的成本函数仅需要观测值的标量和梯度即可计算出来，以在短时间内适当改善合并算法的行为。实验结果表明，与投入来源相比，变异分析对中国的合并数据具有积极影响，并且在西部和西南地区表现特别出色。交叉验证（其中每个受影响的站均立即撤回）表明，合并后的产品显然可以无缝地有助于分析和随后的强降雨事件预报。特别是，它还证实了降水观测的合并具有改善降雨质量和捕获相对数据稀疏地区的模式一致性的能力。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号